scholarly journals PENGARUH TRANSFER PEMERINTAH PUSAT DAN FISKAL STRESS TERHADAP BELANJA DAERAH DI PROVINSI PAPUA BARAT

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Lillyani Margaretha Orisu ◽  
Rumas Alma Yap ◽  
Hesty Theresia Salle
Keyword(s):  
Central Government ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Fiscal Stress ◽  
Stress Variable ◽  
The Difference ◽  
Papua Barat ◽  
Government Transfers

This research aims to examine the effect of central government transfers, fiscal stress, regional taxes and gross regional domestic product on regional spendingofdistricts/cities in West Papua Province, to analyze the effect of fiscal stress from two indicators, namely the ratio of local revenue to regional spending and the difference in expenditurewith revenue. Using panel data analysis method, the first equation uses a random effect model and the second equation uses a fixed effect model.Finding / Originality: That government transfers and gross regional domestic product have a positive and significant effect on regional spending. By using two measures of fiscal stress, it is found that the fiscal stress variable, both through the ratio of original local income to regional spending, and the difference in expenditures and regional revenues, has a significant and positive effect on regional spending

scholarly journals PENGARUH BELANJA PEMERINTAH PUSAT TERHADAP PENERIMAAN NEGARA BUKAN PAJAK PADA KEMENTERIAN NEGARA/LEMBAGA PERIODE 2012-2017

2021 ◽  
Vol 6 (3) ◽  
pp. 227-245
Author(s):  
Puji Wibowo ◽  
Yoopi Abimanyu ◽  
Heri Syafardi ◽  
Muhadi Prabowo ◽  
Iin Indrawati
Keyword(s):  
Panel Data ◽  
Central Government ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Tax Revenue ◽  
Purposive Sampling ◽  
Goods And Services ◽  
Effect Model ◽  
The Impact

Various studies evaluate the impact of budget on government revenue at sub national levels. There are few empirical findings that show how central government budget may influence federal revenue collected by ministries. This study aims to investigate the budget impact of non tax revenue across Indonesian line ministries/agencies in the 2012-2017 period prior to the implementation of Act 9 Year 2018 concerning Non Tax Revenue. By using purposive sampling method, we found there were 24 government institutions observed in this study. We conducted granger causality and panel data analysis by adopting random effect model to examine the effect of goods and services expenditure, capital expenditure, and employee expenditure on non-tax revenue. It is concluded that only government spending on goods and services significantly affects on non-tax revenue performance, while the two other variables have no impacts. Abstrak Sejumlah riset telah dilakukan untuk menguji pengaruh anggaran belanja terhadap pendapatan pemerintah pada level pemerintahan daerah. Sampai saat masih sedikit bukti yang mengungkapkan adanya pengaruh alokasi anggaran belanja pemerintah pusat terhadap pendapatan yang diperoleh Kementerian Negara/Lembaga (K/L). Riset ini bertujuan untuk mengungkapkan pengaruh alokasi anggaran terhadap realisasi Penerimaan Negara Bukan Pajak (PNBP) pada K/L selama periode 2012-2017, sebelum pemberlakuan UU Nomor 9 Tahun 2018 tentang Penerimaan Negara Bukan Pajak. Metode pengambilan sampel yang digunakan adalah purposive sampling, diperoleh 24 instansi pemerintah sebagai objek penelitian. Dengan menggunakan analisis granger dan panel data dengan pendekatan random effect model, penelitian ini menguji pengaruh belanja barang, belanja modal, dan belanja pegawai terhadap kinerja PNBP. Hasil studi ini menyimpulkan bahwa belanja barang berpengaruh signifikan terhadap capaian realisasi PNBP pada K/L, sementara kedua variabel belanja yang lain tidak berdampak signifikan  

scholarly journals Relationship between Commercial Banks Credit and Per capita net state domestic product of India: A Regional Panel data analysis

2021 ◽  
Vol 2 (2) ◽  
pp. 84-93
Author(s):  
Kanchan Datta
Keyword(s):  
Economic Growth ◽  
Capital Accumulation ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Capital Outlay ◽  
Bank Credit ◽  
Domestic Product ◽  
Effect Model ◽  
Per Capita

In general, bank credit plays a pivotal role in economic growth. Because bank credit may stimulate the capital accumulation and rate of saving that further induce the economic growth. However there are no unanimous opinion on the relationship between bank credit and economic growth. Under these circumstances, an attempt has been taken in this paper to investigate the role of bank credit, capital outlay and government’s social sector spending on per capita net state domestic product of India . this study finds that random effect model is better than fixed effect model and expansion of bank credit significantly affecting the per capita net state domestic product, capital outlay also positively and significantly affecting the per capita net state domestic product

Pengaruh Pertumbuhan Ekonomi, Foreign Direct Investment dan Tax Rate Terhadap Penerimaan PPh Badan Negara ASEAN

2020 ◽  
Vol 5 (4) ◽  
pp. 325-342
Author(s):  
Merry Inriama ◽  
Milla Sepliana Setyowati
Keyword(s):  
Foreign Direct Investment ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Domestic Product ◽  
Tax Rate ◽  
Effect Model

Keterbukaan perekonomian menjadi penentu yang penting dalam pertumbuhan ekonomi. Kondisi perekonomian suatu negara dapat memberi dampak terhadap penerimaan sektor perpajakan. Hal ini dapat dilihat dari salah satu penerimaan pajak suatu negara yaitu melalui penerimaan PPh Badan. Tujuan dalam penelitian ini adalah untuk menganalisis pengaruh pertumbuhan ekonomi yang diukur dengan Gross Domestic Product (GDP), Foreign Direct Investment (FDI), dan Tax Rate terhadap besarnya penerimaan PPh Badan (CIT) dalam kasus lima negara ASEAN selama periode 1999-2018. Metode penelitian ini dilakukan dengan menggunakan regresi data panel dengan estimasi Random Effect Model atau Generalized Least Square (GLS) dengan program Eviews. Hasil penelitian ini secara simultan menunjukkan bahwa variabel independen yaitu GDP, FDI, dan tax rate memiliki pengaruh yang signifikan terhadap variabel dependen yaitu penerimaan PPh Badan (CIT). Secara parsial PDB dan tax rate memiliki pengaruh positif dan signifikan yang artinya kenaikan atau penurunan GDP dan tax rate akan mempengaruhi kenaikan atau penurunan penerimaan PPh Badan (CIT), sedangkan FDI tidak memiliki pengaruh terhadap penerimaan PPh Badan (CIT). Melalui penelitian ini diharapkan dapat mengukur variabel-variabel yang memiliki pengaruh terhadap penerimaan PPh Badan, sehingga penerimaan PPh Badan dapat ditingkatkan.

scholarly journals PENGARUH PRODUK DOMESTIK BRUTO (PDB) DAN INDEKS PEMBANGUNAN MANUSIA (IPM) TERHADAP ANGKA KEMISKINAN DI INDONESIA

2010 ◽  
Vol 8 (2) ◽  
pp. 357
Author(s):  
Muhammad Sri Wahyudi Suliswanto
Keyword(s):  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Negative Influence ◽  
Domestic Product ◽  
Development Index ◽  
Effect Model ◽  
Independent Variable

Poverty is classic issue faced by most developing countries and is one of economic indicators to view public welfare level in any region. The research aimed to analyze effect of Gross Domestic Product (GDP), and human development index on poverty in Indonesia. Analysis used quantitative with Random Effect Model (REM) method in Panel Data with time series year 2006 to 2008. Anaysis result concluded that all independent variable simultaneously had significant effect on poverty variable in Indonesia and partially Gross Domestic Product (GDP) variable had significant negative influence on poverty with α 20%, and Human Development Index (HDI) variable had significant negative influence on poverty with α 5%.

Analysis of Board Size and Firm Performance: Evidence from NSE Companies Using Panel Data Approach

2016 ◽  
Vol 9 (2) ◽  
pp. 148-172 ◽  
Author(s):  
Anjala Kalsie ◽  
Shikha Mittal Shrivastav
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Least Square ◽  
Empirical Literature ◽  
Board Size ◽  
Effect Model

This article seeks to examine the relationship between the board size and firm performance. Existing literature on board size is based on different theories of corporate governance. While agency theory and resource dependency theory suggest that the board size positively affects performance, stewardship theory favours smaller board size and argues that larger board size negatively impacts the firm performance. The present article adds to the empirical literature by employing panel data analysis of 145 non-financial companies listed in the NSE CNX 200 Index of India corresponding to 16 industries. The study is carried out for a period of five years from 2008 to 2012. The firm performance has been measured using Tobin’s Q and the market-to-book value ratio (MBVR) as market-based measures and return on assets (ROA) and return on capital employed (ROCE) as accounting-based measures. The fixed effect model, random effect model and feasible generalised least square (FGLS) regression models are applied to achieve the above-mentioned objectives. The results conclude that the board size has a positive and significant impact on the firm performance.

scholarly journals ANALISIS PENGARUH UPAH MINIMUM TERHADAP KESEMPATAN KERJA SEKTOR INDUSTRI DENGAN PANEL DATA ANALYSIS

IQTISHODUNA ◽  
2011 ◽  
Author(s):  
Luthfiya Fathi Pusposari
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Control Variable ◽  
Industrial Sector ◽  
Fixed Effect ◽  
Minimum Wages ◽  
Effect Model

This study aims to determine the effect of minimum wages and employment of industrial sector in East Java. Researchers include two control variables are GDP as control variable of demand labor and work force as control variable of supply labor by using panel data from all districts and cities in East Java (29 districts and nine cities). Analysis of this study used panel data analysis which consisting of the Common Effect model, Fixed Effect model and Random Effect model, then chosed the most appropriate model. The result of this study show after testing the models, the appropriate model is fixed effect where minimum wages have negative effect of employment in industrial sector in east java.

scholarly journals A Panel Data Analysis of Globalization, Peace and Stability: Implications for Governance and the Global Knowledge Economy

2020 ◽  
Vol 4 (2) ◽  
pp. 1-1
Author(s):  
Ayaz Zafar ◽  
Muhammad Tariq Majeed
Keyword(s):  
Panel Data ◽  
Knowledge Economy ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Global Knowledge ◽  
Data Set ◽  
Effect Model

This study attempts to explore the relationship between globalization and the knowledge economy via governance. It intends to explain the channel of their relationship through peace and stability. Knowledge economy pillars (Education and Information and communication technology) are used as the dependent variable and globalization is used as an independent variable. To obtain the objectives of the study, the panel data set of 198 countries is used for the period of 1996-2016. The study has employed econometric techniques of panel data set such as the Fixed Effect Model (FEM), Random Effect Model (REM), and Hausman test. The results reveal that globalization has a significant and positive impact on the knowledge economy. Hence the study recommends that the country should execute such reforms that help enhance the globalization and increase the development of the knowledge economy.

scholarly journals ANALISIS PENGARUH JUMLAH PENDUDUK, PENDIDIKAN, UPAH MINIMUM DAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) TERHADAP JUMLAH PENGANGGURAN DI KABUPATEN DAN KOTAPROVINSI JAWA TIMUR TAHUN 2010-2014

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Trianggono Budi Hartanto
Keyword(s):  
Panel Data ◽  
Gross Domestic Product ◽  
Minimum Wage ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Population Education ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

AbstractThis research aims to analyze the impact of variable population, education (Means Years School), minimum wage and gross domestic regional product on unemployment in district and cities East Java from 2010 to 2014. The analytical method used panel data regression (pooled data) with the Random Effect Model approach. Results of panel data regression analysis in this research showed population, education (means years school), minimum wage and regional gross domestic product is simultaneously significant positive effect on unemployment in distric and cities East Java. Partially, population, education (means year school) and regional gross domestic product is significant and positive impact on unemployment, while minimum wage has no significant impact on unemployment in distric and cities East Java. Keywords : Unemployment,  Population,  Education,  Minimum  Wage,  Gross Domestic Regional Bruto (GDRP) Research Area: District and City East Java

scholarly journals Prices of conventional and renewable energy as determinants of sustainable and secure energy development: regression model analysis

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Sandi Knez ◽  
Goran Šimić ◽  
Anica Milovanović ◽  
Sofia Starikova ◽  
Franc Željko Županič
Keyword(s):  
Developing Countries ◽  
Solar Energy ◽  
Fixed Effects ◽  
Sustainable Energy ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Energy Development ◽  
Energy Product ◽  
The Impact

Abstract Background The prices of energy resources are important determinants of sustainable energy development, yet associated with significant unknowns. The estimates of the impact of prices of energy products in the domestic market (for domestic consumers) are rare—hence the importance and novelty of this research. Therefore, the main goal of the paper is to assess the impact of domestic prices of gasoline, gas, coal, and solar energy on sustainable and secure energy future. Methods The research includes 14 countries (of which 7 are developed and 7 are developing countries) and a period of 5 years (2014–2018). The model also includes discrete variables: level of development (developing or developed), and the fact as to whether the country is an energy exporter or not. For the purposes of analysis, the following elements were used: Panel Data Analysis, Linear regression (with random and fixed effects), Durbin–Wu–Hausman test, and Honda test, with the use of R-studio software for statistical computing. Results The research showed that the biggest negative impact on energy sustainability was recorded by an increase in the price of coal and the smallest one by an increase in the price of solar energy. An increase in the price of gasoline has a positive impact, while an increase in the price of gas has no impact. The basic methodological result showed that the fixed effects linear model is more accurate than the random effect model. Conclusions The results of the paper, important as a sustainable energy policy recommendation, showed that the impact of changes in energy product prices is significantly greater in developing countries, but that the status of the country as an energy exporter has no significance. In addition, the paper points to the need to intensify the research on the assessment of the impact of energy product prices for domestic consumers on their ability to pay that price, because with a certain (so far undefined) increase in energy product prices, a certain group of domestic consumers moves into a category that is not in line with sustainable energy development and is extremely undesirable in every respect—energy poverty.

scholarly journals Determinant of Sesame Export Performance in Ethiopia: A Panel Gravity Model Application

2020 ◽  
Vol 8 (3) ◽  
pp. 714
Author(s):  
Murad Mohammed Baker ◽  
Beyan Ahmed Yuya
Keyword(s):  
Gross Domestic Product ◽  
Gravity Model ◽  
Unit Root ◽  
Export Performance ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Real Gross Domestic Product ◽  
Determinant Factors ◽  
The Government

Ethiopia’s sesame export earn percentage share in the total export had been rapid declining over the last decades while it was the second commodity in currency grossing of the country. The objective of this study was to examine the determinant factors of Ethiopia’s sesame exports performance, in the aspect of export trade, by the use of a more realistic model approach, a panel gravity model. It used short panel data that cover 11 countries of consistent Ethiopia’s sesame importers for the period of 13 years from 2002 to 2014. The panel unit root test of Levin-Lin-Chu was used for each variable and applied the first difference transformation for the variables that had a unit root. The random effect model results suggested that real gross domestic product of importing countries; Ethiopian real gross domestic product, real exchange rate and weighted distance were found to be the determinant factors of Ethiopia’s sesame exports performance. The estimated results revealed that as real gross domestic product of importing countries increase by 1%, the flows of Ethiopia’s sesame exports performance increase by 1.63%. Based on the finding results, the researcher recommends that the policy maker must adopt the policies that reduce the cost of shipping through improving the infrastructure for shipments sector and contract a free trade agreement with distant countries. The government should encourage the private sector to diversify their products and improving the quality of its products to increase the competitiveness the Ethiopian products in foreign markets.

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